IDSS
IDSS

IDSS

Algorithms Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Data Electrical Engineering & Computer Science (eecs) IDSS machine learning MIT Schwarzman College of Computing Research School of Engineering

How symmetry can come to the aid of machine learning

Exploiting the symmetry within datasets, MIT researchers show, can decrease the amount of data needed for training neural networks.

Artificial Intelligence Collaboration Data Graduate, postdoctoral Hackathon Housing IDSS MIT Schwarzman College of Computing Policy Special events and guest speakers Students Technology and policy

Generating the policy of tomorrow

Hundreds of participants from around the world joined the sixth annual MIT Policy Hackathon to develop data-informed policy solutions to challenges in health, housing, and more.

Algorithms Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Data Electrical Engineering & Computer Science (eecs) Health Care Human-computer interaction IDSS Institute for Medical Engineering and Science (IMES) machine learning MIT Schwarzman College of Computing Research School of Engineering

Automated system teaches users when to collaborate with an AI assistant

MIT researchers develop a customized onboarding process that helps a human learn when a model’s advice is trustworthy.

Algorithms Artificial Intelligence Civil and environmental engineering Computer science and technology IDSS Laboratory for Information and Decision Systems (LIDS) machine learning MIT Schwarzman College of Computing National Science Foundation (NSF) Research School of Engineering

AI accelerates problem-solving in complex scenarios

A new, data-driven approach could lead to better solutions for tricky optimization problems like global package routing or power grid operation.

Artificial Intelligence Arts Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Data Electrical Engineering & Computer Science (eecs) Ethics Human-computer interaction IDSS Labor and jobs Laboratory for Information and Decision Systems (LIDS) machine learning MIT Schwarzman College of Computing School of Engineering

Explained: Generative AI

How do powerful generative AI systems like ChatGPT work, and what makes them different from other types of artificial intelligence?

Artificial Intelligence Biological engineering Broad Institute Cells Computer science and technology Data Electrical Engineering & Computer Science (eecs) Genetics Genome editing IDSS Jameel Clinic Laboratory for Information and Decision Systems (LIDS) machine learning Mechanical engineering MIT Schwarzman College of Computing MIT-IBM Watson AI Lab National Science Foundation (NSF) Research School of Engineering

A more effective experimental design for engineering a cell into a new state

By focusing on causal relationships in genome regulation, a new AI method could help scientists identify new immunotherapy techniques or regenerative therapies.

Artificial Intelligence Business and management Center for Collective Intelligence Collaboration Covid-19 Data Energy Faculty Funding Grants Greenhouse gases health IDSS Industry Infrastructure Mechanical engineering Medicine MIT Sloan School of Management Obesity Pandemic Public health Research School of Engineering Sustainability

Supporting sustainability, digital health, and the future of work

The MIT and Accenture Convergence Initiative for Industry and Technology selects three new research projects to support.

Artificial Intelligence Autonomous vehicles Computer science and technology Data Drones IDSS Laboratory for Information and Decision Systems (LIDS) machine learning Mechanical engineering MIT Schwarzman College of Computing NASA Physics Research Robotics Robots School of Engineering

A simpler method for learning to control a robot

Researchers develop a machine-learning technique that can efficiently learn to control a robot, leading to better performance with fewer data.

Algorithms Anthropology Artificial Intelligence Augmented and virtual reality Biology Brain and cognitive sciences Business and management Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Data Economics Education, teaching, academics Electrical Engineering & Computer Science (eecs) Ethics Faculty Government Graduate, postdoctoral Health Care Humanities IDSS Industry machine learning Mathematics MIT Schwarzman College of Computing MIT Sloan School of Management Political science Program in STS Research School of Architecture and Planning School of Engineering School of Humanities Arts and Social Sciences School of Science social media Special events and guest speakers Students Technology and policy Technology and society Undergraduate Urban studies and planning

Bringing the social and ethical responsibilities of computing to the forefront

The inaugural SERC Symposium convened experts from multiple disciplines to explore the challenges and opportunities that arise with the broad applicability of computing in many aspects of society.

Administration Artificial Intelligence Civil and environmental engineering Computer science and technology Data Electrical Engineering & Computer Science (eecs) Faculty IDSS Leadership machine learning MIT Schwarzman College of Computing School of Engineering Statistics

Celebrating the impact of IDSS

A two-day conference at MIT reflected on the impact of the Institute for Data, Systems, and Society since its launch, as founding Director Munther Dahleh prepares to step down.